Cosmoxyn
Computer Vision

Give Your Business the Power to See

From real-time defect detection on factory floors to intelligent document parsing and video analytics — we build vision systems that automate what human eyes do, faster and more accurately.

100%Inspection coverage vs. 12% manual
83%Reduction in defect escape rate
< 80msDetection latency per component
₹42LAnnual rework cost avoided for one client
Overview

What is Computer Vision?

Computer vision is AI that understands images and video. It can detect objects, read text, classify scenes, measure dimensions, track movement, and identify anomalies — all in real time. What once required a human inspector, camera operator, or data-entry clerk can now be automated with a model running on an edge device or in the cloud. At Cosmoxyn, we build end-to-end vision pipelines: from camera setup and data labelling to model training, edge deployment, and live dashboards.

What we deliver
  • Custom object detection and classification models (YOLOv8, EfficientDet)
  • Real-time defect detection and quality inspection for manufacturing lines
  • OCR and intelligent document parsing for invoices, IDs, forms, and receipts
  • Face detection and people counting for retail, security, and HR
  • Video analytics pipelines for surveillance and anomaly detection
  • Edge deployment on NVIDIA Jetson, Raspberry Pi, and industrial cameras
  • Cloud-based vision APIs for web and mobile applications
  • Live dashboards and alerting systems for operational visibility
Use Cases

Real ways businesses use Computer Vision

Manufacturing Quality Inspection

Inspect 100% of manufactured components on the production line for surface defects, dimensional errors, and assembly faults — automatically diverting rejects before they reach customers.

Document & ID Parsing

Extract structured data from Aadhaar cards, PAN cards, passports, invoices, and handwritten forms — eliminating manual data entry across onboarding, compliance, and operations.

Real-Time Video Analytics

Monitor CCTV footage for intruders, accidents, overcrowding, or unauthorised access — triggering instant alerts without anyone watching a screen.

Inventory & Shelf Monitoring

Use in-store cameras to detect out-of-stock shelves, misplaced products, or planogram violations — and notify staff automatically.

Attendance & Access Control

Replace swipe cards with face-based attendance systems that log entry/exit, flag unknown individuals, and integrate with your HR system.

Remote Visual Inspection

Enable field teams to capture images on mobile and get instant AI analysis — identifying faults in infrastructure, crops, or equipment without an expert on-site.

How we work

Our delivery process

01

Problem Definition & Camera Audit

We define exactly what the vision system needs to detect or classify. We review your existing camera infrastructure or recommend appropriate hardware for new deployments.

02

Data Collection & Labelling

We collect representative images and video samples, label them with our annotation tooling, and build a training dataset that covers real-world variation including edge cases and rare defects.

03

Model Training & Benchmarking

We train and fine-tune models and benchmark against your specific accuracy, latency, and false-positive tolerance requirements before anything goes near production.

04

Integration & Edge Deployment

We deploy the model to your chosen hardware — edge device, on-premise server, or cloud — and integrate with your existing systems (PLCs, ERPs, dashboards, alerting).

05

Monitoring & Retraining

After go-live, we monitor model performance on real production data, collect failure cases, and retrain periodically to maintain accuracy as conditions change.

FAQ

Common questions

Ready to get started with Computer Vision?

Book a free 30-minute AI Audit. We'll scope exactly what's possible for your business — no commitment, no jargon.

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